TCS iON Industry Honour Course - Data Analysis with Excel

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Course Details

Course Commencement
August 2023 (Tentative)
Course Completion
January 2024 (Tentative)
Language
English
Exam Dates
Multiple slots in January 2024 (Tentative)
Credits & LTP
Each course offers 5 credit points.
Lecture
3
Tutorial
1
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - All Engineering, Commerce, Business Students
Branch - B.Tech, B.Com, BBA, MA, M.Com, MBA
Semester - For B.Tech, B.Com, BBA:
4 th,  5 th,  6 th,  7 th  and  8 th

For MA, M.Com, MBA:
3 rd  and  4 th

Course Summary

Data Analysis with Excel is a course that will help students gain knowledge and develop skills on Data Analytics and Microsoft Excel software to understand the importance of the software and apply the same in solving analytics problems and generating insights for business decisions. Microsoft Excel is a powerful tool used in data analysis and problem solving which is required by the students for their day-to-day activities in their professional life. This is an inevitable skill set that every graduate should have to progress in their career.

The course starts with basic topics such as Data Handling with Excel, followed by Advanced Data Handling, Data Visualisation and Dashboarding. The course also focusses on descriptive, diagnostic, predictive and prescriptive analytics using Microsoft Excel as a tool.

At the end of the course, the following outcomes are expected:

  1. Students will be able to understand the importance of learning Data Analytics and Microsoft Excel.
  2. Students will be able to develop Spreadsheets and Dashboards to create insights.
  3. Students will be able to appreciate the different tools and techniques offered by Excel software for data analysis and problem solving.

Hands-On

The course will have extensive hands-on sessions using Microsoft Excel.

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RECOMMENDED PRIOR KNOWLEDGE
Knowledge of basic Excel skills will be an added advantage.

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
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RELATED COURSES
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Course Components

Digital Learning
Resources
Courses to consist of enriching eLearning resources View Sample
Digital
Lectures
Multiple digital lectures delivered by a renowned academician and an industry expert, through the entire duration of a course View Sample
Academic Connect
Community
Moderated by an academic expert with a focus on building conceptual clarity View Sample
Industry Connect
Community
Moderated by an industry expert with a focus on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to industry related mini projects to enable practical exposure for candidates View Sample
Periodic Formative
Assessment
Access to three periodic formative assessments during the course View Sample
Summative Assessment
/TCS NQT
Candidates to appear for either summative assessments consisting of two parts - Test of Knowledge and Test of Application or TCS NQT View Sample
Verifiable Digital
Certificate
Successful candidates to receive a digital certificate, verifiable through online platforms View Sample
Internship
Opportunity
Internship opportunity for toppers in the respective courses, subject to vacancies in corporates and their hiring policies View Sample
Job
Visibility
Get visibility to job vacancies with leading corporate recruiters that recognise the TCS NQT certification, subject to vacancies in corporates and their hiring policies View Sample

Testimonials

!~Testimonials~!